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Obsidian Elite RAG MCP Server

pyproject.toml4.18 kB
[build-system] requires = ["hatchling"] build-backend = "hatchling.build" [project] name = "obsidian-elite-rag-mcp" version = "1.0.0" description = "Elite Obsidian RAG System MCP Server - Multi-layer Retrieval-Augmented Generation with Graphiti Knowledge Graph" authors = [ {name = "Mattae Cooper", email = "research@aegntic.ai"}, ] maintainers = [ {name = "Aegntic AI", email = "research@aegntic.ai"}, ] readme = "README.md" license = {text = "MIT"} requires-python = ">=3.9" classifiers = [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Topic :: Scientific/Engineering :: Artificial Intelligence", "Topic :: Text Processing :: Linguistic", "Topic :: Software Development :: Libraries :: Python Modules", ] keywords = [ "obsidian", "rag", "knowledge-management", "mcp-server", "graphiti", "neo4j", "qdrant", "claude", "ai", "second-brain", "knowledge-graph", "retrieval-augmented-generation" ] dependencies = [ # Core RAG Framework "langchain>=0.1.0", "langchain-openai>=0.0.5", "langchain-community>=0.0.10", "openai>=1.0.0", # Vector Databases "qdrant-client>=1.6.0", "chromadb>=0.4.0", "faiss-cpu>=1.7.0", # Knowledge Graph (Graphiti) "graphiti-core>=0.2.0", "neo4j>=5.14.0", "py2neo>=2021.2.4", # Text Processing "tiktoken>=0.5.0", "sentence-transformers>=2.2.0", "transformers>=4.35.0", # MCP Server "mcp>=1.0.0", # Web Framework "fastapi>=0.104.0", "uvicorn>=0.24.0", "websockets>=12.0", # File Processing "pypdf2>=3.0.0", "python-docx>=1.1.0", "python-multipart>=0.0.6", "pillow>=10.0.0", # Data Processing "numpy>=1.24.0", "pandas>=2.1.0", "scikit-learn>=1.3.0", # Graph Processing "networkx>=3.1.0", "rdflib>=7.0.0", # Database "sqlalchemy>=2.0.0", # Configuration & Utilities "pydantic>=2.4.0", "pydantic-settings>=2.0.0", "python-dotenv>=1.0.0", "click>=8.1.0", "rich>=13.6.0", "tqdm>=4.66.0", "pyyaml>=6.0", # File Watching "watchdog>=3.0.0", # Async & Concurrency "aiofiles>=23.2.0", "concurrent-futures>=3.1.1", # Logging & Monitoring "loguru>=0.7.0", "prometheus-client>=0.18.0", ] [project.optional-dependencies] dev = [ "pytest>=7.4.0", "pytest-asyncio>=0.21.0", "black>=23.9.0", "flake8>=6.1.0", "mypy>=1.6.0", "pre-commit>=3.5.0", ] nlp = [ "spacy>=3.7.0", "nltk>=3.8.0", ] vision = [ "opencv-python>=4.8.0", "pytesseract>=0.3.10", ] audio = [ "librosa>=0.10.0", "speechrecognition>=3.10.0", ] advanced-ai = [ "anthropic>=0.7.0", "cohere>=4.32.0", ] [project.urls] Homepage = "https://github.com/aegntic/aegntic-MCP" Documentation = "https://github.com/aegntic/aegntic-MCP/tree/main/obsidian-elite-rag" Repository = "https://github.com/aegntic/aegntic-MCP/tree/main/obsidian-elite-rag" "Bug Tracker" = "https://github.com/aegntic/aegntic-MCP/issues" [project.scripts] obsidian-elite-rag-server = "obsidian_elite_rag.server:main" obsidian-elite-rag-cli = "obsidian_elite_rag.cli:main" [tool.hatch.version] path = "src/obsidian_elite_rag/__init__.py" [tool.hatch.build.targets.sdist] include = [ "/src", "/config", "/scripts", "/docs", "/templates", "/README.md", "/LICENSE", "/pyproject.toml", ] [tool.hatch.build.targets.wheel] packages = ["src/obsidian_elite_rag"] [tool.black] line-length = 88 target-version = ['py39'] include = '\.pyi?$' [tool.mypy] python_version = "3.9" warn_return_any = true warn_unused_configs = true disallow_untyped_defs = true [tool.pytest.ini_options] asyncio_mode = "auto" testpaths = ["tests"] python_files = ["test_*.py", "*_test.py"]

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